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field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell data analysis
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What the role entails: The Division of Cell Matrix Biology and Regenerative Medicine within the School of Biological Sciences wish to appoint a laboratory-based Research Assistant to an exciting
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, changing, deadline-oriented environment Strong oral communication and writing skills (both English and French) Experience with cell culture Able to adapt to changing priorities Ability to work in a complex
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physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic environments Design and implement reinforcement learning algorithms for control and
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image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks Investigate instance and panoptic segmentation for endosymbionts and track them over time Implement
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. Researcher Academy Mobility & Placements Manager – Secondment Opportunity, Maternity Cover The Researcher
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-scale single-cell data from primary human tissues, spatial transcriptomic data, and experimental genomic screens. We are now seeking a highly motivated and well-organised Research Assistant to support a
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cytometry, T cell cell culture, and molecular biology assays. Strong analytical skills and experience with FlowJo. Excellent written and verbal communication skills for scientific publications and
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include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile app in the Apple App Store or Google Play Store to help you stay engaged, connected, and informed
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile